摘要
本课题利用OpenCV图像处理库在Visual Studio上用C++语言实现一种课堂环境学生表情分析系统。整个系统包含4个模块,分别是学生面部检测系统、关键点自动标定与特征值提取系统、表情分类系统、表情识别系统。实验表明,本文所研究实现的特征提取及分析技术具有较好的识别分析效果。
This paper proposed a method for emotion recognition for learning students based on OpenCV toolbox, which realized by Visual Studio with C＋＋ language. The realized system includes four models, such as Face recognition and pretreatment;key point automatic tagging; feature extraction;emotion training and classification model. Experiments show that the feature extrac-tion technology implemented in this paper has a good recognition effect
出处
《仪器仪表用户》
2018年第3期16-18,12,共4页
Instrumentation
基金
北京市实培计划大学生科研训练计划深化项目
关键词
课堂学习
视频分析
表情识别
face detection
video analysis
emotion recognition
